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Using Google Trends to track the global interest in International Financial Reporting Standards: Evidence from big data

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  • Yuqian Zhang

Abstract

This study proposes a novel method for identifying international accounting differences under International Financial Reporting Standards (IFRS). Using Google Trends data extracted between January 2014 and August 2022, it creates an index, the Global IFRS/IAS Search Index (GISI), which comprises the search activities of 121 jurisdictions for 45 IFRS accounting standards. To assess its relative validity, I classify Nobes' (1983) 14 jurisdictions in addition to 20 OECD countries. The cluster analysis demonstrates that the GISI is a viable alternative for analyzing international differences under IFRS. The results indicate that incorporating big data could be beneficial for examining global accounting issues. A judgmental international classification of financial reporting practices

Suggested Citation

  • Yuqian Zhang, 2023. "Using Google Trends to track the global interest in International Financial Reporting Standards: Evidence from big data," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(2), pages 87-100, April.
  • Handle: RePEc:wly:isacfm:v:30:y:2023:i:2:p:87-100
    DOI: 10.1002/isaf.1529
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    1. Nobes, Christopher & Stadler, Christian, 2018. "Investigating international differences in financial reporting: Data problems and some proposed solutions," The British Accounting Review, Elsevier, vol. 50(6), pages 602-614.
    2. Yuelin Li & Nicholas J. Belkin, 2010. "An exploration of the relationships between work task and interactive information search behavior," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(9), pages 1771-1789, September.
    3. Hans B. Christensen & Edward Lee & Martin Walker & Cheng Zeng, 2015. "Incentives or Standards: What Determines Accounting Quality Changes around IFRS Adoption?," European Accounting Review, Taylor & Francis Journals, vol. 24(1), pages 31-61, May.
    4. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    5. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    6. Castelnuovo, Efrem & Tran, Trung Duc, 2017. "Google It Up! A Google Trends-based Uncertainty index for the United States and Australia," Economics Letters, Elsevier, vol. 161(C), pages 149-153.
    7. Christopher Nobes, 2011. "IFRS Practices and the Persistence of Accounting System Classification," Abacus, Accounting Foundation, University of Sydney, vol. 47(3), pages 267-283, September.
    8. Niclas Hellman & Sidney J. Gray & Richard D. Morris & Axel Haller, 2015. "The persistence of international accounting differences as measured on transition to IFRS," Accounting and Business Research, Taylor & Francis Journals, vol. 45(2), pages 166-195, February.
    9. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, September.
    10. Nerissa C. Brown & Han Stice & Roger M. White, 2015. "Mobile Communication and Local Information Flow: Evidence from Distracted Driving Laws," Journal of Accounting Research, Wiley Blackwell, vol. 53(2), pages 275-329, May.
    11. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
    12. Christopher Nobes, 2013. "The continued survival of international differences under IFRS," Accounting and Business Research, Taylor & Francis Journals, vol. 43(2), pages 83-111, April.
    13. Thomas Dimpfl & Stephan Jank, 2016. "Can Internet Search Queries Help to Predict Stock Market Volatility?," European Financial Management, European Financial Management Association, vol. 22(2), pages 171-192, March.
    14. Yuelin Li & Nicholas J. Belkin, 2010. "An exploration of the relationships between work task and interactive information search behavior," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(9), pages 1771-1789, September.
    15. Nobes, Christopher & Stadler, Christian, 2013. "How arbitrary are international accounting classifications? Lessons from centuries of classifying in many disciplines, and experiments with IFRS data," Accounting, Organizations and Society, Elsevier, vol. 38(8), pages 573-595.
    16. Christopher Nobes, 2008. "Accounting Classification in the IFRS Era," Australian Accounting Review, CPA Australia, vol. 18(3), pages 191-198, September.
    17. Petutschnig, Matthias, 2017. "Future orientation and taxes: Evidence from big data," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 29(C), pages 14-31.
    18. Frederick Lindahl & Hannu Schadéwitz, 2013. "Are Legal Families Related to Financial Reporting Quality?," Abacus, Accounting Foundation, University of Sydney, vol. 49(2), pages 242-267, June.
    19. Anastasios Petropoulos & Vasileios Siakoulis & Evangelos Stavroulakis & Panagiotis Lazaris & Nikolaos Vlachogiannakis, 2022. "Employing Google Trends and Deep Learning in Forecasting Financial Market Turbulence," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(3), pages 353-365, July.
    20. Ball, Ray & Robin, Ashok & Wu, Joanna Shuang, 2003. "Incentives versus standards: properties of accounting income in four East Asian countries," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 235-270, December.
    21. Isabel Costa Lourenço & Raquel Sarquis & Manuel Castelo Branco & Nuno Magro, 2018. "International Differences in Accounting Practices Under IFRS and the Influence of the US," Australian Accounting Review, CPA Australia, vol. 28(4), pages 468-481, December.
    22. Lang, Mark & Stice-Lawrence, Lorien, 2015. "Textual analysis and international financial reporting: Large sample evidence," Journal of Accounting and Economics, Elsevier, vol. 60(2), pages 110-135.
    23. Christian Leuz, 2010. "Different approaches to corporate reporting regulation: How jurisdictions differ and why," Accounting and Business Research, Taylor & Francis Journals, vol. 40(3), pages 229-256.
    24. Sophie Cockcroft & Mark Russell, 2018. "Big Data Opportunities for Accounting and Finance Practice and Research," Australian Accounting Review, CPA Australia, vol. 28(3), pages 323-333, September.
    25. Isabel Costa Lourenço & Raquel Sarquis & Manuel Castelo Branco & Cláudio Pais, 2015. "Extending the Classification of European Countries by their IFRS Practices: A Research Note," Accounting in Europe, Taylor & Francis Journals, vol. 12(2), pages 223-232, December.
    26. Michela Arnaboldi & Cristiano Busco & Suresh Cuganesan, 2017. "Accounting, accountability, social media and big data: revolution or hype?," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 30(4), pages 762-776, May.
    27. Christian Stadler & Christopher W. Nobes, 2014. "The Influence of Country, Industry, and Topic Factors on IFRS Policy Choice," Abacus, Accounting Foundation, University of Sydney, vol. 50(4), pages 386-421, December.
    28. Rivera, Roberto, 2016. "A dynamic linear model to forecast hotel registrations in Puerto Rico using Google Trends data," Tourism Management, Elsevier, vol. 57(C), pages 12-20.
    29. repec:eme:aaaj00:aaaj-03-2017-2880 is not listed on IDEAS
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